code: def find_unaccessible_pos(self, to_check_action):
      if to_check_action == self.do_nothing_action:
          return []
      lines = to_check_action.as_dict()["set_line_status"][
          "disconnected_id"
      ]
      arr = []
      for line_id in lines:
          arr.append((line_id, 1))
      act = self.action_space(
          {"set_bus": {"lines_ex_id": arr, "lines_or_id": arr}}
      )
      pos = np.where(act._set_topo_vect != 0)[0]
      return pos
  
file_path: PARL/benchmark/torch/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge/track2/rl_agent.py
imports: import os
  import numpy
  from copy import deepcopy
  from utils import process
  from powernet_model import PowerNetModel
  from grid2op.Agent import BaseAgent
  import torch
label_desc: Use image node_id 5 for calling the RLAgent obj's underlying member method code with example usage: obj.find_unaccessible_pos(to_check_action) and returns: pos, list